Tomorrow.io

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About
Tomorrow.io is an atmospheric intelligence platform that combines space-based data with artificial intelligence to provide weather resilience for global organizations. Unlike traditional weather services that rely solely on government sensors, this platform operates its own proprietary constellation of AI-native satellites known as DeepSky. This hardware layer allows for continuous, global observation of the atmosphere, capturing cloud-penetrating data even in regions where ground-based infrastructure is lacking. By fusing satellite data with global atmospheric models, the platform offers a level of precision designed to help businesses move from reactive monitoring to proactive decision-making. The core of the platform's predictive capability is the AI FOCUS model, which delivers hyper-local forecasts at kilometer-scale resolution. These forecasts are updated every 15 minutes, providing a significant advantage for industries tracking fast-moving events like lightning, hail, or flash floods. For enterprises, the Shield Agentic Suite offers sector-specific intelligence, translating raw weather data into actionable insights. This suite helps users anticipate peril-driven losses, manage catastrophic response efforts, and automate operational triggers based on specific weather thresholds. The platform is built for a wide range of industries including aviation, insurance, logistics, and energy. Logistics coordinators can use the tool to optimize supply chains against snow or heat events, while insurance teams use it to validate claims faster by verifying weather conditions at specific properties. Additionally, the platform is highly accessible to developers through an LLM-ready Weather API. This API supports over 60 weather layers and is optimized for natural language workflows, making it possible to feed real-time weather data directly into AI agents and automated dashboards. What sets Tomorrow.io apart is its agentic approach to weather. Rather than just providing a forecast, the platform focuses on weather intelligence — the intersection of weather data and business impact. By consolidating various data streams into a unified platform, it eliminates the need for manual data aggregation. Whether through the web-based resilience platform or the developer-centric API, the system provides a specialized machine learning infrastructure that allows users to ingest and act on new atmospheric data immediately.
Pros & Cons
Delivers hyper-local forecasts updated every 15 minutes for superior storm tracking accuracy.
Utilizes a proprietary AI-native weather satellite constellation for global, cloud-penetrating data coverage.
Offers an LLM-ready API specifically optimized for AI agents and natural language processing workflows.
Provides sector-specific solutions like Shield Agent to translate data into actionable business outcomes.
Improves sensing accuracy by 3x with 20-30% more precise readings compared to legacy systems.
The full enterprise resilience platform requires a demo request rather than offering immediate self-service sign-up.
Detailed pricing for enterprise-tier industry solutions is not publicly disclosed on the website.
The complexity of the space-powered data platform may be overkill for users seeking simple, non-commercial forecasts.
Use Cases
Insurance teams use the Shield Agent suite to predict property-level peril like hail to trigger proactive loss prevention actions for customers.
Aviation operators leverage the platform to navigate severe storm surges and optimize flight scheduling during extreme weather events.
Logistics and supply chain managers use the intelligence platform to plan for snow and heat impacts on manufacturing facilities and delivery routes.
Developers build automated dashboards using the Weather API to feed real-time atmospheric data into enterprise resource planning tools.
On-demand delivery services integrate the API to provide customers with more accurate ETAs based on hyper-local weather insights.
Platform
Features
• natural language workflow support
• peril-driven loss prevention
• 60+ weather data layers
• 15-minute forecast updates
• llm-ready weather api
• shield agentic suite for industries
• ai focus hyperlocal forecasting
• deepsky ai-native satellite constellation
FAQs
What is the update frequency of the AI FOCUS model?
The AI FOCUS model provides hyper-local forecasts updated every 15 minutes. This high-frequency updating sets a new industry standard for speed in storm and severe weather forecasting.
Can developers use the weather data for AI agents?
Yes, Tomorrow.io provides an LLM-ready Weather API that is optimized for natural language workflows. This allows developers to integrate up-to-the-minute weather insights directly into AI agents and automation.
How does Tomorrow.io collect its own weather data?
The platform utilizes the DeepSky satellite constellation, which is the world's first AI-native, space-based weather-sensing network. This constellation provides cloud-penetrating data from space that traditional ground sensors cannot reach.
What is the Shield Agentic Suite?
The Shield Agentic Suite is a set of tools designed for industries like insurance to anticipate losses and manage CAT responses. It uses location-specific intelligence to predict property-level perils like hail, wind, and flood.
Does the platform support historical weather analysis?
Yes, the platform includes a Historical Weather API among its products. This allows organizations to analyze past weather events to better understand their impact on operations and planning.
Pricing Plans
Free Weather API
Free Plan• 60+ hyper-accurate weather layers
• Real-time weather insights
• Forecast API access
• Historical weather data
• JSON or natural language output
• LLM-ready for AI agents
• Developer documentation access
Job Opportunities
Account Manager
Predict and manage weather-related risks with space-powered AI intelligence that delivers hyper-local forecasts every 15 minutes for global enterprise resilience.
Benefits:
Comprehensive health benefits
Unlimited paid time off
Relocation assistance
Flexible hours
Unlimited vacation days
Experience Requirements:
6+ years of successful SaaS sales with proven quota attainment
Experience and comfort being conversant with all levels of personas
Success with enterprise and global solution selling
Familiarity with common sales methodology (e.g. MEDDPIC, Sandler, Challenger, etc.)
Other Requirements:
Based in the greater Boston area
AI-First Mindset: Enthusiasm for GenAI
Ability to collaborate onsite 2x per week
Strong organizational skills and attention to detail
High degree of confidence throughout the sales cycle
Responsibilities:
Manage a named book of clients as primary business point of contact
Cross-sell to find new business into new divisions of existing clients
Upsell with new products
Renew Tomorrow.io’s existing client base
Generate accurate forecast and business pipeline
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